diff --git a/web/apps/photos/src/services/face/embed.ts b/web/apps/photos/src/services/face/embed.ts
deleted file mode 100644
index 2e0977ea1..000000000
--- a/web/apps/photos/src/services/face/embed.ts
+++ /dev/null
@@ -1,26 +0,0 @@
-import { workerBridge } from "@/next/worker/worker-bridge";
-import { FaceEmbedding } from "services/face/types";
-
-export const mobileFaceNetFaceSize = 112;
-
-/**
- * Compute embeddings for the given {@link faceData}.
- *
- * The model used is MobileFaceNet, running in an ONNX runtime.
- */
-export const faceEmbeddings = async (
-    faceData: Float32Array,
-): Promise<Array<FaceEmbedding>> => {
-    const outputData = await workerBridge.faceEmbeddings(faceData);
-
-    const embeddingSize = 192;
-    const embeddings = new Array<FaceEmbedding>(
-        outputData.length / embeddingSize,
-    );
-    for (let i = 0; i < embeddings.length; i++) {
-        embeddings[i] = new Float32Array(
-            outputData.slice(i * embeddingSize, (i + 1) * embeddingSize),
-        );
-    }
-    return embeddings;
-};
diff --git a/web/apps/photos/src/services/face/f-index.ts b/web/apps/photos/src/services/face/f-index.ts
index 9a2be2cee..66788c958 100644
--- a/web/apps/photos/src/services/face/f-index.ts
+++ b/web/apps/photos/src/services/face/f-index.ts
@@ -1,9 +1,9 @@
 import { openCache } from "@/next/blob-cache";
 import log from "@/next/log";
+import { workerBridge } from "@/next/worker/worker-bridge";
 import { Matrix } from "ml-matrix";
 import mlIDbStorage from "services/face/db";
 import { detectFaces, getRelativeDetection } from "services/face/detect";
-import { faceEmbeddings, mobileFaceNetFaceSize } from "services/face/embed";
 import { Box, Point, enlargeBox } from "services/face/geom";
 import {
     DetectedFace,
@@ -11,6 +11,7 @@ import {
     FaceAlignment,
     FaceCrop,
     FaceDetection,
+    FaceEmbedding,
     MLSyncFileContext,
     type MlFileData,
 } from "services/face/types";
@@ -434,6 +435,30 @@ const syncFileFaceEmbeddings = async (
     log.info("[MLService] facesWithEmbeddings: ", newMlFile.faces.length);
 };
 
+export const mobileFaceNetFaceSize = 112;
+
+/**
+ * Compute embeddings for the given {@link faceData}.
+ *
+ * The model used is MobileFaceNet, running in an ONNX runtime.
+ */
+export const faceEmbeddings = async (
+    faceData: Float32Array,
+): Promise<Array<FaceEmbedding>> => {
+    const outputData = await workerBridge.faceEmbeddings(faceData);
+
+    const embeddingSize = 192;
+    const embeddings = new Array<FaceEmbedding>(
+        outputData.length / embeddingSize,
+    );
+    for (let i = 0; i < embeddings.length; i++) {
+        embeddings[i] = new Float32Array(
+            outputData.slice(i * embeddingSize, (i + 1) * embeddingSize),
+        );
+    }
+    return embeddings;
+};
+
 const syncFileFaceMakeRelativeDetections = async (
     fileContext: MLSyncFileContext,
 ) => {